Segmentation Prediction

Segmentation prediction, the task of partitioning an image into meaningful regions, is a core problem in computer vision with applications ranging from medical image analysis to autonomous driving. Current research emphasizes improving accuracy and robustness, particularly in challenging scenarios like few-shot learning, out-of-distribution detection, and handling noisy or ambiguous data. This involves exploring various architectures, including transformers, diffusion models, and recurrent networks, often combined with techniques like reinforcement learning and self-supervision to enhance performance and reduce reliance on large, fully annotated datasets. Advances in this field are crucial for improving the reliability and applicability of AI systems across diverse domains.

Papers

September 23, 2024

Towards Ground-truth-free Evaluation of Any Segmentation in Medical Images
Ahjol Senbi, Tianyu Huang, Fei Lyu, Qing Li, Yuhui Tao, Wei Shao, Qiang Chen, Chengyan Wang, Shuo Wang, Tao Zhou, Yizhe Zhang
Medical Image Segmentation Based Approach Segmentation Quality Segmentation Benchmark Reference Free Evaluation Segmentation Prediction

June 1, 2024

AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning
Duojun Huang, Xinyu Xiong, Jie Ma, Jichang Li, Zequn Jie, Lin Ma, Guanbin Li
Reinforcement Learning Segment Anything Model Context Information LD Align Segmentation Prediction segmentatiOn Challenge

December 21, 2023

October 31, 2023

FLODCAST: Flow and Depth Forecasting via Multimodal Recurrent Architectures
Andrea Ciamarra, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo
Optical Flow Motion Forecasting Segmentation Prediction Depth Forecasting

October 4, 2023

A Metacognitive Approach to Out-of-Distribution Detection for Segmentation
Meghna Gummadi, Cassandra Kent, Karl Schmeckpeper, Eric Eaton
Segmentation Based Approach Distribution Detection Instance Segmentation Segmentation Model Semantic Segmentation Benchmark Segmentation Prediction Semantic Scene Segmentation Metacognitive Approach

September 17, 2023

CLIPUNetr: Assisting Human-robot Interface for Uncalibrated Visual Servoing Control with CLIP-driven Referring Expression Segmentation
Chen Jiang, Yuchen Yang, Martin Jagersand
Semantic Segmentation Visual Servoing Expression Segmentation Segmentation Prediction Human Robot Interface

September 11, 2023

Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation
Linhan Wang, Shuo Lei, Jianfeng He, Shengkun Wang, Min Zhang, Chang-Tien Lu
Semantic Segmentation Shot Learning Remote Sensing Image Semantic Segmentation Segmentation Prediction Cross Correlation Learning

June 16, 2023

Towards Better Certified Segmentation via Diffusion Models
Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou
Diffusion Model Segmentation Model Image Segmentation Randomized Smoothing Segmentation Prediction

May 29, 2023

Few-Shot Rotation-Invariant Aerial Image Semantic Segmentation
Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang
Segmentation Performance Shot Semantic Segmentation Segmentation Prediction Aerial Image Segmentation

April 10, 2023

Ambiguous Medical Image Segmentation using Diffusion Models
Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M Patel
Diffusion Model Medical Image Segmentation Segmentation Mask Segmentation Prediction Collective Wisdom

March 31, 2023

SemHint-MD: Learning from Noisy Semantic Labels for Self-Supervised Monocular Depth Estimation
Shan Lin, Yuheng Zhi, Michael C. Yip
Semantic Segmentation Ground Truth Self Supervised Monocular Depth Estimation Self Supervised Depth Segmentation Map Segmentation Prediction

January 9, 2023

FullStop:Punctuation and Segmentation Prediction for Dutch with Transformers
Vincent Vandeghinste, Oliver Guhr
Transformer Megatron Decepticons Speech Recognition Punctuation Restoration Punctuation Mark Segmentation Prediction Stop or Go Decision Dutch Language Model

August 4, 2022

Improved post-hoc probability calibration for out-of-domain MRI segmentation
Cheng Ouyang, Shuo Wang, Chen Chen, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert
Cardiac Segmentation Segmentation Prediction Probability Calibration

May 2, 2022

One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model
Wonho Bae, Junhyug Noh, Milad Jalali Asadabadi, Danica J. Sutherland
Semantic Segmentation Pseudo Labeling Pixel Level Weakly Supervised Semantic Segmentation Unconventional Rabbit Hat Trick Segmentation Prediction Pixel Level Pseudo Label

April 22, 2022

Transfer Learning from Synthetic In-vitro Soybean Pods Dataset for In-situ Segmentation of On-branch Soybean Pod
Si Yang, Lihua Zheng, Xieyuanli Chen, Laura Zabawa, Man Zhang, Minjuan Wang
Transfer Learning Segmentation Prediction

March 23, 2022

3D Adapted Random Forest Vision (3DARFV) for Untangling Heterogeneous-Fabric Exceeding Deep Learning Semantic Segmentation Efficiency at the Utmost Accuracy
Omar Alfarisi, Zeyar Aung, Qingfeng Huang, Ashraf Al-Khateeb, Hamed Alhashmi, Mohamed Abdelsalam, Salem Alzaabi, Haifa Alyazeedi, Anthony Tzes
Semantic Segmentation Random Forest 3D Scene 3D Content 3d Image Segmentation Prediction

November 3, 2021

HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation
Shubhankar Borse, Hong Cai, Yizhe Zhang, Fatih Porikli
Segmentation Network Segmentation Benchmark Task Complexity Deep Supervision Segmentation Prediction Supervised Semantic Segmentation Hierarchical Semantic Segmentation

Segmentation Prediction

Papers

Towards Ground-truth-free Evaluation of Any Segmentation in Medical Images

AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning

Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection

Weakly Supervised Semantic Segmentation for Driving Scenes

FLODCAST: Flow and Depth Forecasting via Multimodal Recurrent Architectures

A Metacognitive Approach to Out-of-Distribution Detection for Segmentation

CLIPUNetr: Assisting Human-robot Interface for Uncalibrated Visual Servoing Control with CLIP-driven Referring Expression Segmentation

Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation

Towards Better Certified Segmentation via Diffusion Models

Few-Shot Rotation-Invariant Aerial Image Semantic Segmentation

Ambiguous Medical Image Segmentation using Diffusion Models

SemHint-MD: Learning from Noisy Semantic Labels for Self-Supervised Monocular Depth Estimation

FullStop:Punctuation and Segmentation Prediction for Dutch with Transformers

Improved post-hoc probability calibration for out-of-domain MRI segmentation

One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model

Transfer Learning from Synthetic In-vitro Soybean Pods Dataset for In-situ Segmentation of On-branch Soybean Pod

3D Adapted Random Forest Vision (3DARFV) for Untangling Heterogeneous-Fabric Exceeding Deep Learning Semantic Segmentation Efficiency at the Utmost Accuracy

HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation